Open-source projects tagged “knowledge-graph”

Turns a codebase, its docs, schemas and PDFs into a queryable knowledge graph for AI coding assistants, built locally with tree-sitter AST parsing.

Python CLI that turns GitHub READMEs, Markdown files and Jupyter notebooks into Word, PDF, PPTX, blog, LaTeX and other documentation formats.

Turns unstructured text into an interactive knowledge graph by using an LLM to extract subject-predicate-object triples.

Indexes multi-language codebases into a knowledge graph so you can query, search, and edit code in plain English via an AI agent or MCP server.

Open infrastructure with a Python SDK and CLI for searching, creating, evaluating, analyzing, and routing reusable AI agent skills.

Python infrastructure that turns enterprise data into a graph-based context layer with ontologies, reasoning, provenance and decision audit trails for AI systems.

A learning repository of 30 runnable Jupyter notebooks covering agent memory techniques for LLM agents, from conversation buffers to Mem0, Letta, Zep and Graphiti.

A self-hosted Rust knowledge base that builds a bitemporal knowledge graph from documents, with RAG search, ontology-driven reasoning and MCP access for agents.

A local code knowledge graph that gives AI coding tools precise review context over MCP and a CLI.

A Claude Code plugin and multi-platform skill set that turns codebases and LLM wikis into interactive knowledge graphs you can explore and query.

Incremental data pipeline framework in Python with a Rust core that keeps vector indexes and knowledge graphs in sync with changing sources for AI agents and RAG apps.

Local-first data workspace that connects company databases, SaaS tools and files into one ontology you can query, running on your own computer.